a666649fd4
feat(iit): harden QC pipeline consistency and release artifacts
...
Implement IIT quality workflow hardening across eQuery deduplication, guard metadata validation, timeline/readability improvements, and chat evidence fallbacks, then synchronize release and development documentation for deployment handoff.
Includes migration/scripts for open eQuery dedupe guards, orchestration/status semantics, report/tool readability fixes, and updated module status plus deployment checklist.
Made-with: Cursor
2026-03-08 21:54:35 +08:00
71d32d11ee
feat(iit): V3.2 data consistency + project isolation + admin config redesign + Chinese labels
...
Summary:
- Refactor timeline API to read from qc_field_status (SSOT) instead of qc_logs
- Add field-issues paginated API with severity/dimension/recordId filters
- Add LEFT JOIN field_metadata + qc_event_status for Chinese display names
- Implement per-project ChatOrchestrator cache and SessionMemory isolation
- Redesign admin IIT config tabs (REDCap -> Fields -> KB -> Rules -> Members)
- Add AI-powered QC rule generation (D3 programmatic + D1/D5/D6 LLM-based)
- Add clickable warning/critical detail Modal in ReportsPage
- Auto-dispatch eQuery after batch QC via DailyQcOrchestrator
- Update module status documentation to v3.2
Backend changes:
- iitQcCockpitController: rewrite getTimeline from qc_field_status, add getFieldIssues
- iitQcCockpitRoutes: add field-issues route
- ChatOrchestrator: per-projectId cached instances
- SessionMemory: keyed by userId::projectId
- WechatCallbackController: resolve projectId from iitUserMapping
- iitRuleSuggestionService: dimension-based suggest + generateD3Rules
- iitBatchController: call DailyQcOrchestrator after batch QC
Frontend changes:
- AiStreamPage: adapt to new timeline structure with dimension tags
- ReportsPage: clickable stats cards with issue detail Modal
- IitProjectDetailPage: reorder tabs, add AI rule generation UI
- iitProjectApi: add TimelineIssue, FieldIssueItem types and APIs
Status: TypeScript compilation verified, no new lint errors
Made-with: Cursor
2026-03-02 14:29:59 +08:00
2030ebe28f
feat(iit): Complete V3.1 QC engine + GCP business reports + AI timeline + bug fixes
...
V3.1 QC Engine:
- QcExecutor unified entry + D1-D7 dimension engines + three-level aggregation
- HealthScoreEngine + CompletenessEngine + ProtocolDeviationEngine + QcAggregator
- B4 flexible cron scheduling (project-level cronExpression + pg-boss dispatcher)
- Prisma migrations for qc_field_status, event_status, project_stats
GCP Business Reports (Phase A - 4 reports):
- D1 Eligibility: record_summary full list + qc_field_status D1 overlay
- D2 Completeness: data entry rate and missing rate aggregation
- D3/D4 Query Tracking: severity distribution from qc_field_status
- D6 Protocol Deviation: D6 dimension filtering
- 4 frontend table components + ReportsPage 5-tab restructure
AI Timeline Enhancement:
- SkillRunner outputs totalRules (33 actual rules vs 1 skill)
- iitQcCockpitController severity mapping fix (critical->red, warning->yellow)
- AiStreamPage expandable issue detail table with Chinese labels
- Event label localization (eventLabel from backend)
Business-side One-click Batch QC:
- DashboardPage batch QC button with SyncOutlined icon
- Auto-refresh QcReport cache after batch execution
Bug Fixes:
- dimension_code -> rule_category in 4 SQL queries
- D1 eligibility data source: record_summary full + qc_field_status overlay
- Timezone UTC -> Asia/Shanghai (QcReportService toBeijingTime helper)
- Pass rate calculation: passed/totalEvents instead of passed/totalRecords
Docs:
- Update IIT module status with GCP reports and bug fix milestones
- Update system status doc v6.6 with IIT progress
Tested: Backend compiles, frontend linter clean, batch QC verified
Made-with: Cursor
2026-03-01 22:49:49 +08:00
0b29fe88b5
feat(iit): QC deep fix + V3.1 architecture plan + project member management
...
QC System Deep Fix:
- HardRuleEngine: add null tolerance + field availability pre-check (skipped status)
- SkillRunner: baseline data merge for follow-up events + field availability check
- QcReportService: record-level pass rate calculation + accurate LLM XML report
- iitBatchController: legacy log cleanup (eventId=null) + upsert RecordSummary
- seed-iit-qc-rules: null/empty string tolerance + applicableEvents config
V3.1 Architecture Design (docs only, no code changes):
- QC engine V3.1 plan: 5-level data structure (CDISC ODM) + D1-D7 dimensions
- Three-batch implementation strategy (A: foundation, B: bubbling, C: new engines)
- Architecture team review: 4 whitepapers reviewed + feedback doc + 4 critical suggestions
- CRA Agent strategy roadmap + CRA 4-tool explanation doc for clinical experts
Project Member Management:
- Cross-tenant member search and assignment (remove tenant restriction)
- IIT project detail page enhancement with tabbed layout (KB + members)
- IitProjectContext for business-side project selection
- System-KB route access control adjustment for project operators
Frontend:
- AdminLayout sidebar menu restructure
- IitLayout with project context provider
- IitMemberManagePage new component
- Business-side pages adapt to project context
Prisma:
- 2 new migrations (user-project RBAC + is_demo flag)
- Schema updates for project member management
Made-with: Cursor
2026-03-01 15:27:05 +08:00
205932bb3f
feat(asl): Complete Tool 4 SR Chart Generator and Tool 5 Meta Analysis Engine
...
Tool 4 - SR Chart Generator:
- PRISMA 2020 flow diagram with Chinese/English toggle (SVG)
- Baseline characteristics table (Table 1)
- Dual data source: project pipeline API + Excel upload
- SVG/PNG export support
- Backend: ChartingService with Prisma aggregation
- Frontend: PrismaFlowDiagram, BaselineTable, DataSourceSelector
Tool 5 - Meta Analysis Engine:
- 3 data types: HR (metagen), dichotomous (metabin), continuous (metacont)
- Random and fixed effects models
- Multiple effect measures: HR / OR / RR
- Forest plot + funnel plot (base64 PNG from R)
- Heterogeneity statistics: I2, Q, p-value, Tau2
- Data input via Excel upload or project pipeline
- R Docker image updated with meta package (13 tools total)
- E2E test: 36/36 passed
- Key fix: exp() back-transformation for log-scale ratio measures
Also includes:
- IIT CRA Agent V3.0 routing and AI chat page integration
- Updated ASL module status guide (v2.3)
- Updated system status guide (v6.3)
- Updated R statistics engine guide (v1.4)
Tested: Frontend renders correctly, backend APIs functional, E2E tests passed
Made-with: Cursor
2026-02-26 21:51:02 +08:00
203846968c
feat(iit): Complete CRA Agent V3.0 P0 milestone - autonomous QC pipeline
...
P0-1: Variable list sync from REDCap metadata
P0-2: QC rule configuration with JSON Logic + AI suggestion
P0-3: Scheduled QC + report generation + eQuery closed loop
P0-4: Unified dashboard + AI stream timeline + critical events
Backend:
- Add IitEquery, IitCriticalEvent Prisma models + migration
- Add cronEnabled/cronExpression to IitProject
- Implement eQuery service/controller/routes (CRUD + respond/review/close)
- Implement DailyQcOrchestrator (report -> eQuery -> critical events -> notify)
- Add AI rule suggestion service
- Register daily QC cron worker and eQuery auto-review worker
- Extend QC cockpit with timeline, trend, critical events APIs
- Fix timeline issues field compat (object vs array format)
Frontend:
- Create IIT business module with 6 pages (Dashboard, AI Stream, eQuery,
Reports, Variable List + project config pages)
- Migrate IIT config from admin panel to business module
- Implement health score, risk heatmap, trend chart, critical event alerts
- Register IIT module in App router and top navigation
Testing:
- Add E2E API test script covering 7 modules (46 assertions, all passing)
Tested: E2E API tests 46/46 passed, backend and frontend verified
Made-with: Cursor
2026-02-26 13:28:08 +08:00
